Investigating the existence of social networks in cheating behaviors in medical students.

ABSTRACT:

Background

Most studies on academic cheating rely on self-reported questionnaires and focus on the individual, overlooking cheating as a group activity. The aim of this study is to estimate the true prevalence of cheating/anomalies among medical students using a statistical index developed for this purpose, and to explore the existence of social networks between anomalies in students' results.

Methods

Angoff's A index was applied to a sample of 30 written examinations, with a total of 1487 students and 7403 examinations taken, from the 2014/2015 academic year of the Faculty of Medicine of the University of Porto to detect anomaly pairs. All analyses are within the same academic year and not across years. Through simulations, the sensitivity and specificity of the statistical

SUBMITTER: Monteiro J 

PROVIDER: S-EPMC6085665 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature